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Ai Rag Jobs in Rosenberg, TX (NOW HIRING)

Compunnel

Senior Data Scientist GenAI / RAG

Houston, TX · On-site

This role is responsible for developing and deploying AI-powered applications, Retrieval-Augmented Generation (RAG) systems, predictive models, and data-driven solutions that solve complex business ...

Worley

Lead AI Engineer

Houston, TX · On-site

$97K - $128K/yr

Key Responsibilities: 1) AI Solution Design & Architecture - Design and implement AI solutions leveraging: o Retrieval-Augmented Generation (RAG) o Agentic workflows (tool use, orchestration ...

myDNA, Inc.

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

Builds retrieval-augmented generation (RAG) pipelines - document ingestion, chunking, embeddings ... Builds and operates AI systems for audit-readiness - data lineage, prompt and model version ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Position: Gen AI/ML Solution Architect Location: Houston, TX - (5 days onsite per week) Notes ... Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and ...

Kforce Technology Staffing

AI Manager

Katy, TX · On-site

Develop agent logic, manage API integrations, and optimize RAG solutions grounded in internal Academy data * Evaluate and prototype non-Microsoft AI platforms when appropriate, while maintaining ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX · On-site

Role: The AI Engineer holds primary responsibility for architecting and implementing FSCU's on ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX · On-site

Role: The AI Engineer holds primary responsibility for architecting and implementing FSCU's on ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX

Role: The AI Engineer holds primary responsibility for architecting and implementing FSCU's on ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

Kirkland & Ellis LLP

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

Build and deploy AI models, large language model (LLM)-powered applications, and retrieval-augmented generation (RAG) pipelines across enterprise environments. * Quality & Evaluation: Create and ...

Kirkland & Ellis LLP.

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

Build and deploy AI models, large language model (LLM)-powered applications, and retrieval-augmented generation (RAG) pipelines across enterprise environments. * Quality & Evaluation: Create and ...

Energy Transfer

Principal AI Developer

Houston, TX · On-site

Azure OpenAI Azure AI Foundry Azure AI Search Microsoft Copilot Studio Semantic Kernel Vector Databases RAG (Retrieval-Augmented Generation) Semantic Search Agentic AI MCP (Model Context Protocol ...

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Ai Rag information

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How much do ai rag jobs pay per year?

As of Jul 14, 2026, the average yearly pay for ai rag in Rosenberg, TX is $51,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $58,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What job categories do people searching Ai Rag jobs in Rosenberg, TX look for? The top searched job categories for Ai Rag jobs in Rosenberg, TX are:
What cities near Rosenberg, TX are hiring for Ai Rag jobs? Cities near Rosenberg, TX with the most Ai Rag job openings:
Ai Rag jobs near you
Senior Data Scientist GenAI / RAG

Senior Data Scientist GenAI / RAG

Compunnel

Houston, TX • On-site

Full-time

Posted 12 days ago

Job description

Job Summary
We are seeking a Senior Data Scientist with a strong background in traditional Machine Learning, Deep Learning, and hands-on experience building enterprise Generative AI solutions. This role is responsible for developing and deploying AI-powered applications, Retrieval-Augmented Generation (RAG) systems, predictive models, and data-driven solutions that solve complex business problems. The ideal candidate will collaborate with cross-functional teams, interact directly with customers, and leverage modern AI technologies to deliver scalable enterprise solutions.
Key Responsibilities
  • Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces.
  • Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related technologies.
  • Design, develop, and implement machine learning algorithms to solve complex business problems.
  • Analyze large and complex datasets to generate actionable insights and support data-driven decision-making.
  • Build predictive models and statistical solutions to improve enterprise products and business outcomes.
  • Collaborate with client data science teams across Machine Learning and Deep Learning ecosystems.
  • Work closely with product managers, engineers, and business stakeholders to integrate AI and data science solutions into enterprise products.
  • Develop and deploy machine learning models for production environments.
  • Perform feature engineering, data preparation, and model optimization.
  • Build enterprise knowledge solutions using Generative AI technologies.
  • Work with structured and unstructured datasets to extract meaningful insights.
  • Collaborate directly with customers and stakeholders to understand business requirements and recommend AI-driven solutions.
  • Communicate technical findings and recommendations effectively to both technical and non-technical audiences.
  • Mentor junior data scientists and contribute to knowledge sharing across the team.
  • Stay current with advancements in Machine Learning, Deep Learning, Generative AI, and data science technologies.
  • Support continuous improvement initiatives by evaluating emerging AI frameworks, tools, and best practices.

Required Qualifications
  • Overall 10+ years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or related technical fields.
  • Strong experience in Machine Learning (ML) and Deep Learning (DL).
  • Hands-on experience with Generative AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Experience developing enterprise AI and machine learning solutions.
  • Strong proficiency in Python or R.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of statistical analysis, predictive modeling, and data modeling techniques.
  • Experience working with SQL and querying large datasets.
  • Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
  • Experience working within AWS cloud environments.
  • Experience working with Snowflake or similar enterprise data platforms.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication, collaboration, stakeholder management, and client-facing skills.
  • Ability to work effectively with cross-functional teams in an enterprise environment.

Preferred Qualifications
  • Exposure to Agentic AI and Agent APIs.
  • Experience with Claude, Anthropic, or similar Generative AI development platforms.
  • Domain experience within the Oil & Gas or Energy industry.
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience working with enterprise software products.
  • Understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media

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